/*
 * Licensed to the Apache Software Foundation (ASF) under one or more
 * contributor license agreements.  See the NOTICE file distributed with
 * this work for additional information regarding copyright ownership.
 * The ASF licenses this file to You under the Apache License, Version 2.0
 * (the "License"); you may not use this file except in compliance with
 * the License.  You may obtain a copy of the License at
 *
 *    http://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing, software
 * distributed under the License is distributed on an "AS IS" BASIS,
 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 * See the License for the specific language governing permissions and
 * limitations under the License.
 */

package com.intel.hibench.sparkbench.streaming.application

import com.intel.hibench.common.streaming.metrics.KafkaReporter
import com.intel.hibench.sparkbench.streaming.util.SparkBenchConfig

import org.apache.spark.streaming.dstream.DStream

class Repartition() extends BenchBase {

  override def process(lines: DStream[(Long, String)], config: SparkBenchConfig): Unit = {
    val reportTopic = config.reporterTopic
    val brokerList = config.brokerList

    lines.repartition(config.coreNumber).foreachRDD(rdd => rdd.foreachPartition( partLines => {
      val reporter = new KafkaReporter(reportTopic, brokerList)
      partLines.foreach{ case (inTime , content) =>
        val outTime = System.currentTimeMillis()
        reporter.report(inTime,outTime)
        if(config.debugMode) {
          println("Event: " + inTime + ", " + outTime)
        }
      }
    }))
  }
}

